Artificial Intelligence for
Apollo is a collection of open-source tools and services to deploy automated guardrails, evaluate models and systematically test for quality.
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Quantitative testing
Evaluate the quality of your systems and analyze data quality to catch regressions faster. Test, measure and iterate over your automated systems for continuous improvement.
Fine-tune for a specific use-case
Use your own set of true-positives or LLM generated prompts alongside standard ML metrics, so you can train models to detect and enforce against emerging trends.
Performance monitoring
One API for all Trust & Safety ML services to handle real-time changes in user experience and improve the responsiveness of your AI systems without writing code. We support 100+ providers, integrations and connections.
Use cases
We're building specialized AI tools for Trust & Safety to improve data quality & transparency for teams. Our mission is to help teams handle real-time changes in their data by providing tools to detect performance degradation, continuous model improvement and adaptation.
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Early adaptation for platform needs against harmful, low prevalence and highly sensitive content.
Transparency and benchmarking for handling real-time changes in data.
Generative datasets to kickstart automated training & early detection against changes in user experience.